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Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI., , , , , , , , , and 4 other author(s). NeuroImage, 24 (4): 1139-1146 (2005)A functional MRI study of movement-associated cortical changes in patients with Devic's neuromyelitis optica., , , , , , , , , and . NeuroImage, 21 (3): 1061-1068 (2004)Longitudinal modeling of MS patient trajectories improves predictions of disability progression., , , , , , , , , and 31 other author(s). CoRR, (2020)Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression., , , , , , , , , and 31 other author(s). Comput. Methods Programs Biomed., (2021)Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge., , , , , , , , , and 15 other author(s). CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1123-1164. CEUR-WS.org, (2023)Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023., , , , , , , , , and 15 other author(s). CLEF, volume 14163 of Lecture Notes in Computer Science, page 343-369. Springer, (2023)Quantitative diffusion weighted imaging measures in patients with multiple sclerosis., , , , , , , , , and . NeuroImage, 36 (3): 746-754 (2007)Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis., , , , , , , and . CoRR, (2024)Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180., , , , , , , , , and 31 other author(s). Comput. Methods Programs Biomed., (2022)iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge., , , , , , , , , and 2 other author(s). ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 491-498. Springer, (2023)